Automatic aggregation by joint modeling of aspects and values

Journal of Artificial Intelligence Research

Volumn 46, Issue , 2013, Pages 89-127

  Sauper, Christina ^a   Barzilay, Regina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFERENCE ENGINES;

ASPECT IDENTIFICATIONS; AUTOMATIC AGGREGATIONS; GENERATIVE MODEL; INFERENCE ALGORITHM; JOINT MODELING; LABELING ACCURACIES; PRODUCT REVIEWS; RELATIVE ERRORS;

SENTIMENT ANALYSIS;

EID: 84875527658     PISSN: None     EISSN: 10769757     Source Type: Journal    
DOI: 10.1613/jair.3647     Document Type: Article

References (40)

1. Barzilay, R., McKeown, K. R., & Elhadad, M. (1999). Information fusion in the context of multi-document summarization. In Proceedings of ACL, pp. 550-557.
2. Blei, D. M., & McAuliffe, J. (2008). Supervised topic models. In Advances in NIPS, pp. 121-128.
3. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
4. Carenini, G., & Moore, J. D. (2006). Generating and evaluating evaluative arguments. Artificial Intelligence, 170, 925-952.
5. Carenini, G., Ng, R., & Pauls, A. (2006). Multi-document summarization of evaluative text. In Proceedings of EACL, pp. 305-312.
6. Carenini, G., Ng, R. T., & Zwart, E. (2005). Extracting knowledge from evaluative text. In Proceedings of K-CAP, pp. 11-18.
7. Chen, H., Benson, E., Naseem, T., & Barzilay, R. (2011). In-domain relation discovery with meta-constraints via posterior regularization. In Proceedings of ACL, pp. 530-540.
8. Chen, H., Branavan, S. R. K., Barzilay, R., & Karger, D. R. (2009). Global models of document structure using latent permutations. In Proceedings of ACL/HLT, pp. 371-379.
9. Crammer, K., & Singer, Y. (2001). Pranking with ranking. In Advances in NIPS, pp. 641-647. MIT Press.
10. Dang, H. T. (2005). Overview of DUC 2005. In Proceedings of DUC at EMNLP/HLT.
11. Dang, H. T. (2006). Overview of DUC 2006. In Proceedings of DUC at NAACL/HLT.
12. Dave, K., Lawrence, S., & Pennock, D. M. (2003). Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In Proceedings of WWW, pp. 519-528.
13. Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. In Proceedings of SIGKDD, pp. 168-177.
14. Karypis, G. (2002). CLUTO a clustering toolkit. Tech. rep. 02-017, Dept. of Computer Science, University of Minnesota. Available at http://www.cs.umn. edu~cluto.
15. Kim, H. D., & Zhai, C. (2009). Generating comparative summaries of contradictory opinions in text. In Proceedings of CIKM, pp. 385-394.
16. Kim, S., & Hovy, E. (2005). Automatic detection of opinion bearing words and sentences. In Proceedings of IJCNLP, pp. 61-66.
17. Kim, S.-M., & Hovy, E. (2006). Automatic identification of pro and con reasons in online reviews. In Proceedings of COLING ACL, pp. 483-490.
18. Klein, D., & Manning, C. D. (2003). Accurate unlexicalized parsing. In Proceedings of ACL, pp. 423-430.
19. Liu, B., Hu, M., & Cheng, J. (2005). Opinion observer: Analyzing and comparing opinions on the web. In Proceedings of WWW, pp. 342-351.
20. Lu, Y., & Zhai, C. (2008). Opinion integration through semi-supervised topic modeling. In Proceedings of WWW, pp. 121-130.
21. Mani, I. (2001). Automatic summarization, Vol. 3. John Benjamins Pub Co.
22. McDonald, R., Hannan, K., Neylon, T., Wells, M., & Reynar, J. (2007). Structured models for fine-to-coarse sentiment analysis. In Proceedings of ACL, pp. 432-439.
23. Mei, Q., Ling, X., Wondra, M., Su, H., & Zhai, C. (2007). Topic sentiment mixture: modeling facets and opinions in weblogs. In Proceedings of WWW, pp. 171-180.
24. Pang, B., & Lee, L. (2004). A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of ACL, pp. 271-278.
25. Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2, 1-135.
26. Pang, B., Lee, L., & Vaithyanathan, S. (2002). Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP, pp. 79-86.
27. Popescu, A.-M., Nguyen, B., & Etzioni, O. (2005). OPINE: Extracting product features and opinions from reviews. In Proceedings of EMNLP/HLT, pp. 339-346.
28. Radev, D., & McKeown, K. (1998). Generating natural language summaries from multiple on-line sources. Computational Linguistics, 24(3), 469-500.
29. Radev, D. R., Jing, H., & Budzikowska, M. (2000). Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies. In Proceedings of the NAACL-ANLP Workshop on Automatic Summarization, pp. 21-30.
30. Ratnaparkhi, A. (1996). A maximum entropy model for part-of-speech tagging. In Proceedings of EMNLP, pp. 133-142.
31. Sauper, C., Haghighi, A., & Barzilay, R. (2010). Incorporating content structure into text analysis applications. In Proceedings of EMNLP, pp. 377-387.
32. Sauper, C., Haghighi, A., & Barzilay, R. (2011). Content models with attitude. In Proceedings of ACL, pp. 350-358.
33. Seki, Y., Eguchi, K., Kanodo, N., & Aono, M. (2005). Multi-document summarization with subjectivity analysis at DUC 2005. In Proceedings of DUC at EMNLP/HLT.
34. Seki, Y., Eguchi, K., Kanodo, N., & Aono, M. (2006). Opinion-focused summarization and its analysis at DUC 2006. In Proceedings of DUC at NAACL/HLT, pp. 122-130.
35. Snyder, B., & Barzilay, R. (2007). Multiple aspect ranking using the good grief algorithm. In Proceedings of NAACL/HLT, pp. 300-307.
36. Titov, I., & McDonald, R. (2008a). A joint model of text and aspect ratings for sentiment summarization. In Proceedings of ACL, pp. 308-316.
37. Titov, I., & McDonald, R. (2008b). Modeling online reviews with multi-grain topic models. In Proceedings of WWW, pp. 111-120.
38. Turney, P. D. (2002). Thumbs up or thumbs down?: semantic orientation applied to unsu-pervised classification of reviews. In Proceedings of ACL, pp. 417-424.
39. Vilain, M., Burger, J., Aberdeen, J., Connolly, D., & Hirschman, L. (1995). A model-theoretic coreference scoring scheme. In Proceedings of MUC, pp. 45-52.
40. Yu, H., & Hatzivassiloglou, V. (2003). Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP, pp. 129-136. Association for Computational Linguistics.